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应用生态学报 ›› 2010, Vol. 21 ›› Issue (01): 209-214.

• 研究报告 • 上一篇    下一篇

巢湖表层水体中有机氯农药的分布及其组成

张明;花日茂**;李学德;周婷婷;汤锋;操海群;吴祥为;唐俊   

  1. 安徽农业大学资源与环境学院安徽省农产品安全重点实验室,合肥 230036
  • 出版日期:2010-01-20 发布日期:2010-01-20

Distribution and composition of organochlorine pesticides in surface water body of Chaohu Lake.

ZHANG Ming, HUA Ri-mao, LI Xue-de, ZHOU Ting-ting, TANG Feng, CAO Hai-qun, WU Xiang-wei, TANG Jun   

  1. Anhui Province Key Laboratory of Agricultural Food Safety, College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
  • Online:2010-01-20 Published:2010-01-20

摘要: 以固相萃取-气相色谱法/电子捕获检测器(SPE-GC/ECD)作为检测手段,对巢湖表层水体中有机氯农药(OCPs)的分布及组成特征进行分析.结果表明:研究区13个采样点中共检出包括六六六(HCHs)、滴滴涕(DDTs)、β-硫丹(β-Endosulfan)、艾氏剂(Aldrin)、六氯苯(hexachlorobenzene)和七氯(Heptachlor)在内的16种有机氯农药,其总含量范围为0.54~64.01 ng·L-1;16种有机氯农药中以HCHs和DDTs为主,其平均质量浓度分别为5.56 ng·L-1和16.57 ng·L-1,约占其总量的84.75%;研究区的有机氯农药污染除了主要源于历史上农田中有机氯农药的残留外,近期可能还有新的农药污染源进入水环境;研究区所检出的各类有机氯农药均未超过国家地表水环境质量标准,巢湖表层水体中有机氯农药含量及潜在风险均属于中等偏低水平.

关键词: 巢湖, 水体, 有机氯农药, 气相色谱法/电子捕获检测器, 碳源, 碳汇, 净碳排放强度, 长三角地区, 时空格局

Abstract: By the method of SPE-GC/ECD, this paper studied the distribution and composition of organochlorine pesticides (OCPs) in the surface water body of Chaohu Lake. At the 13 sampling sites of study area, a total of 16 kinds of OCPs, including HCHs, DDTs, β-Endosulfan, Aldrin, hexachlorobenzene, and Heptachlor, were detected. The total OCPs concentration was 0.54-64.01 ng·L-1, and the main components were HCHs and DDTs, whose average concentrations were 5.56 ng·L-1 and 16.57 ng·L-1, respectively, accounting for about 84.75% of the total. The origins of OCPs in study area were historical residues and the recent discharge of pesticides. The concentrations of all existences accorded with the target values of GB 3838-2002. The concentrations of OCPs in the surface water body of Chaohu Lake were much lower, and the risk was low in general.

Key words: Chaohu Lake, water body, organochlorine pesticides, GC-ECD, carbon source, carbon sink, net carbon emission intensity, Yangtze River Delta, spatiotemporal pattern.